The Lattice Boltzmann Method Using Parallel Computation: A Great Potential Solution for Various Complicated Acoustic Problems

Pranowo, D. Setyohadi, A. Wijayanta
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Abstract

This paper proposes the D2Q5 Lattice Boltzmann method (LBM) method, in two dimensions with five discrete lattice velocities, for simulating linear sound wave propagation in closed rooms. A second-order linear acoustic equation obtained from the LBM method was used as the model equation. Boundary conditions at the domain boundary use the bounce-back scheme. The LBM numerical calculation algorithm in this paper is relatively simpler and easy to implement. Parallelization with the GPU CUDA was implemented to speed up the execution time. The calculation results show that the use of parallel GPU CUDA programming can accelerate the proposed simulation 27.47 times faster than serial CPU programming. The simulation results are validated with analytical solutions for acoustic pulse reflected by the flat and oblique walls, the comparisons show very good concordance, and the D2Q5 LBM has second-order accuracy. In addition, the simulation results in the form of wavefront propagation images in complicated shaped rooms are also compared with experimental photographs, and the comparison also shows excellent concordance. The numerical results of the D2Q5 LBM are promising and also demonstrate the great capability of the D2Q5 LBM for investigating room acoustics in various complexities.
使用并行计算的点阵玻尔兹曼法:各种复杂声学问题的潜在解决方案
本文提出了二维五离散晶格速度的 D2Q5 Lattice Boltzmann 法(LBM),用于模拟封闭房间内的线性声波传播。通过 LBM 方法得到的二阶线性声学方程被用作模型方程。域边界的边界条件采用反弹方案。本文中的 LBM 数值计算算法相对简单,易于实现。通过 GPU CUDA 实现了并行化,从而加快了执行时间。计算结果表明,使用 GPU CUDA 并行编程比 CPU 串行编程可加快 27.47 倍的仿真速度。仿真结果与平墙和斜墙反射声脉冲的分析解进行了验证,比较结果表明两者具有很好的一致性,D2Q5 LBM 具有二阶精度。此外,复杂形状房间中波前传播图像形式的模拟结果也与实验照片进行了对比,对比结果也显示出很好的一致性。D2Q5 LBM 的数值结果令人鼓舞,同时也证明了 D2Q5 LBM 在研究各种复杂房间声学方面的巨大能力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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